Journal of Biological ChemistryCancer BiologyPeer-reviewed journal article
Colorectal cancer-associated PCBP1 mutations disrupt protein stability in a dominant negative manner
Paige BlinkiewicziD, Nicole C HoenesiD, Muhammad Zubair AfzaliD, Yihong LiuiD, Ulysses J HilliD, Sophie K. TraftoniD, Berglind BjarnadottiriD, Tucker BurginiD, Prerna MalaneyiD
Abstract
Mutations in RNA-binding proteins are increasingly identified in cancers through tumor sequencing and are correlated with disease progression, therapy response, and overall patient outcomes, underscoring the need to study them. Here, we focus on the RNA-binding protein Poly-C binding protein 1 (PCBP1), which binds target RNAs through K-homology (KH) domains to regulate RNA fate. PCBP1 is a tumor suppressor gene and hotspot missense mutations at leucine residues 100 and 102 are observed in colorectal cancer (CRC). PCBP1 mutations have been recurrently reported in CRC genome-wide mutation studies and are associated with poor clinical outcomes; however, their effects on PCBP1 expression and function remain largely unexplored. We show that cancer-associated mutations substituting leucine 100 and 102 with glutamine, proline, or arginine destabilize PCBP1, leading to increased protein turnover. The L100/L102 residues occur at the interface of the RNA-binding KH1 and KH2 domains, and our molecular dynamics simulations show that mutations at these residues disrupt the secondary structure of PCBP1. Additionally, these mutants display increased cytoplasmic localization. Importantly, mutant PCBP1 physically interacts with wild type PCBP1 and suppresses its expression through a dominant-negative mechanism. Together, our data demonstrate that CRC-associated PCBP1 mutations destabilize the protein and act as dominant-negative variants, revealing a novel mechanism of tumor suppressor inactivation in colorectal cancer.
- organism: human
- assay: proteomics
- research focus: protein folding & dynamics
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 1th percentile
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